Sarah Guido
Data scientist, Reonomy

Sarah is a data scientist at Reonomy, where she’s helping to build disruptive tech in the commercial real estate industry in New York City. Three of her favorite things are Python, data, and machine learning.

Python is quickly becoming the go-to language for data analysis. However, it can be difficult to figure out which tools are good to use. In this workshop, we’ll work through in-depth examples of tools for data wrangling, machine learning, and data visualization. I’ll show you how to work through a data analysis workflow, and how to deal with different kinds of data.
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Python is quickly becoming the go-to language for data analysis, but it can be difficult to figure out which tools to use. In this presentation, I’ll give a bird’s eye overview of some of the best tools for data analysis and how you can apply them to your own workflow. I’ll introduce you to how you can use Pandas, Scikit-Learn, NLTK, MRJob, and matplotlib for data analysis.
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